Kum Fai Yuen
Orcid: 0000-0002-9199-6661
According to our database1,
Kum Fai Yuen
authored at least 45 papers
between 2019 and 2024.
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Bibliography
2024
Key knowledge domains for maritime shipping executives in the digital era: a knowledge-based view approach.
Technol. Anal. Strateg. Manag., July, 2024
Impact of Intercompetitor Licensing on Remanufacturing Market Competition and Cooperation.
IEEE Trans. Engineering Management, 2024
IEEE Trans. Engineering Management, 2024
Assessing Logistics Service Quality in Omni-Channel Retailing Through Integrated SERVQUAL and Kano Model.
Syst., 2024
An ensemble method for investigating maritime casualties resulting in pollution occurrence: Data augmentation and feature analysis.
Reliab. Eng. Syst. Saf., 2024
Real-time prediction and detection of contacts between vessels and facilities based on AIS: A multivariate time-series classification approach.
Expert Syst. Appl., 2024
Expert Syst. Appl., 2024
OS-FCM: A semi-supervised clustering approach to investigating consumers' usage patterns of contactless shopping-delivery (S-D) channel.
Expert Syst. Appl., 2024
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network.
Eng. Appl. Artif. Intell., 2024
Effect of anthropomorphic design and hierarchical status on balancing self-serving bias: Accounting for education, ethnicity, and experience.
Comput. Hum. Behav., 2024
Benchmarking feed-forward randomized neural networks for vessel trajectory prediction.
Comput. Electr. Eng., 2024
Ship collision risk assessment: A multi-criteria decision-making framework based on Dempster-Shafer evidence theory.
Appl. Soft Comput., 2024
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
A novel method to assess urban multimodal transportation system resilience considering passenger demand and infrastructure supply.
Reliab. Eng. Syst. Saf., October, 2023
Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities.
Reliab. Eng. Syst. Saf., September, 2023
Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks, September, 2023
Contactless technologies adoption during the coronavirus pandemic: a combined technology acceptance and health belief perspective.
Technol. Anal. Strateg. Manag., July, 2023
A ranking of critical competencies for shore-based maritime logistics executives in the digital era.
Technol. Anal. Strateg. Manag., July, 2023
Does consumers' involvement in e-commerce last-mile delivery change after COVID-19? An investigation on behavioural change, maintenance and habit formation.
Electron. Commer. Res. Appl., July, 2023
Service recovery strategies for crowdsourced transportation: an examination of their impacts on user loyalty.
Technol. Anal. Strateg. Manag., May, 2023
Deep versus superficial anthropomorphism: Exploring their effects on human trust in shared autonomous vehicles.
Comput. Hum. Behav., April, 2023
Going solo and feeling smart? An exploratory study on shoppers' time valuation and cultural perception.
Internet Res., 2023
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning.
Eng. Appl. Artif. Intell., 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Assessing the Development Level of Logistics for Sustainable Cities in Urban Agglomeration Based on a Multi-Layer Complex Network.
Syst., 2022
Holistic risk assessment of container shipping service based on Bayesian Network Modelling.
Reliab. Eng. Syst. Saf., 2022
Resilience assessment of waterway transportation systems: Combining system performance and recovery cost.
Reliab. Eng. Syst. Saf., 2022
Neural Comput. Appl., 2022
Expert Syst. Appl., 2022
Random vector functional link neural network based ensemble deep learning for short-term load forecasting.
Expert Syst. Appl., 2022
Appl. Soft Comput., 2022
Echo state neural network based ensemble deep learning for short-term load forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory.
Technol. Anal. Strateg. Manag., 2021
An investigation of original equipment manufacturer's optimal remanufacturing mode and engagement strategy.
Int. Trans. Oper. Res., 2021
INFOR Inf. Syst. Oper. Res., 2021
Online Consumers' Satisfaction in Self-Collection: Value Co-Creation from the Service Fairness Perspective.
Int. J. Electron. Commer., 2021
Expert Syst. Appl., 2021
Contactless channel for shopping and delivery in the context of social distancing in response to COVID-19 pandemic.
Electron. Commer. Res. Appl., 2021
Adoption of shopper-facing technologies under social distancing: A conceptualisation and an interplay between task-technology fit and technology trust.
Comput. Hum. Behav., 2021
Walk-forward empirical wavelet random vector functional link for time series forecasting.
Appl. Soft Comput., 2021
Time series forecasting based on echo state network and empirical wavelet transformation.
Appl. Soft Comput., 2021
2020
The four facets of self-collection service for e-commerce delivery: Conceptualisation and latent class analysis of user segments.
Electron. Commer. Res. Appl., 2020
Eng. Appl. Artif. Intell., 2020
Social Media Engagement of Stakeholders: A Decision Tree Approach in Container Shipping.
Comput. Ind., 2020
2019
Association between New Urbanization and Sustainable Transportation: A Symmetrical Coupling Perspective.
Symmetry, 2019